Python for Data Analysis & Visualization
Python for Data Analysis & Visualization (3/2022)
Duration: 10h 2m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.6 GB
Genre: eLearning | Language: English
Duration: 10h 2m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.6 GB
Genre: eLearning | Language: English
Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more
What you'll learn:
Python, we will be using Python3 in this course
Data Analysis Libraries in Python such as NumPy and Pandas
Data Visualization Libraries in Python such as Matplotlib and Seaborn
How to analyse data
Data Visualization
Jupyter Notebooks IDE / Anaconda Distribution
Requirements:
No prior knowledge required
Description:
Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analysing and visualizing data.
This course can be split into 3 key areas:
The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this course
The second area focuses on analysing and manipulating data. You will learn how to master both NumPy and Pandas
For the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib, Seaborn and Plotly Express
You will be using Jupyter Notebooks as part of the Anaconda Distribution. Jupyter is the most popular Python IDE available.
The course is packed with lectures, code-along videos, coding exercises and quizzes.
On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.
There should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.
The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.
This course is suitable for students of all levels and it doesn’t matter what operating system you use.
Curriculum summary:
Set Up & Installation
Core Python
Python Objects, Variables and Data Types
Control Flow and Loops
Functions
External Libraries
Data Analysis Libraries
NumPy
Pandas
Connecting to different Data Sources
Visualization Libraries
Matplotlib
Seaborn
Plotly Express
4 dedicated Challenge Sections!!!!
Who this course is for:
Python developers curious about the data analysis libraries
Python developers curious about the data visualization libraries
Anyone interested in learning Python
Data Analysts
Anyone working with data
More Info